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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 3501–3525 of 9051 papers

TitleStatusHype
Diversify and Conquer: Bandits and Diversity for an Enhanced E-commerce Homepage Experience—0
Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug DesignCode0
DROP: Dynamics Responses from Human Motion Prior and Projective Dynamics—0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning—0
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation—0
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
Multi-Static ISAC in Cell-Free Massive MIMO: Precoder Design and Privacy AssessmentCode1
M^3CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders—0
A mirror-Unet architecture for PET/CT lesion segmentationCode0
American Family Cohort, a data resource description—0
Learning to Diversify Neural Text Generation via Degenerative Model—0
AntiBARTy Diffusion for Property Guided Antibody Design—0
TrTr: A Versatile Pre-Trained Large Traffic Model based on Transformer for Capturing Trajectory Diversity in Vehicle Population—0
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective—0
Euler-Lagrange Analysis of Generative Adversarial NetworksCode1
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetCode7
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning—0
Adaptive Input-image Normalization for Solving the Mode Collapse Problem in GAN-based X-ray Images—0
Leveraging Data Collection and Unsupervised Learning for Code-switched Tunisian Arabic Automatic Speech Recognition—0
Leveraging Diversity in Online Interactions—0
Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and PretrainingCode0
Design of Chain-of-Thought in Math Problem SolvingCode1
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving—0
Motif-Centric Representation Learning for Symbolic MusicCode0
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